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Development

Featured in Development

Beat the Plan: Probabilistic Strategies for Successful Software Delivery at Scale

Large-scale software delivery demands managing complexity across teams and organizations. Similarly to betting strategies in Vegas, embracing probabilistic thinking helps tackle uncertainty, shifting from rigid plans to adaptive systems. By making informed bets and designing for change, leaders can control volatility, respond to evolving conditions, and drive success in dynamic environments.

All in development

Architecture & Design

Featured in Architecture & Design

Evolving Your Architecture: Essential Steps and Tools for Modernization

Camilla Crispim discusses aspects of architecture that require assessment, methods for conducting these assessments, and the tools available to facilitate the process and support decision-making.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Dataflow-based Query Caching with Readyset

Alana Marzoev discusses the fundamentals of streaming dataflow and the architecture of ReadySet, a streaming dataflow system designed for operational workloads.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Virtual Panel: How to Become a Principal Engineer

As a software engineer or individual contributor, the next step in your career can be to become a principal engineer. The path to becoming a principal engineer at companies can feel unclear, which can inhibit individual engineering careers. But that also provides opportunities for engineers to invent and shape the role of principal engineers.

All in culture-methods

DevOps

Featured in DevOps

From Local to Production: a Modern Developer’s Journey towards Kubernetes

Urvashi Mohnani discusses the full developer experience of writing an application, containerizing it locally, deploying it to a Kubernetes cluster, and debugging Kubernetes applications locally.

All in devops

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AI, ML & Data Engineering

Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform

Yahoo uses Hadoop for different use cases in big data & machine learning areas. They also use deep learning techniques in their products like Flickr. InfoQ spoke with Peter Cnudde on how Yahoo leverages big data platform technologies.

Srini Penchikala
on Oct 13, 2016

Topics

Beat the Plan: Probabilistic Strategies for Successful Software Delivery at Scale

Evolving Your Architecture: Essential Steps and Tools for Modernization

Dataflow-based Query Caching with Readyset

Virtual Panel: How to Become a Principal Engineer

From Local to Production: a Modern Developer’s Journey towards Kubernetes

Helpful links

Choose your language

Articles

Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform

Beat the Plan: Probabilistic Strategies for Successful Software Delivery at Scale

Carle Lerche Talking at QCon SF about Rust: a Productive Language for Writing Database Applications

Google Introduces Gemini AI Features to Android Studio

Inside Netflix’s Distributed Counter: Scalable, Accurate, and Real-Time Counting at Global Scale

Evolving Your Architecture: Essential Steps and Tools for Modernization

Production Comes First - an Outside-In Approach to Building Microservices

Virtual Panel: How to Become a Principal Engineer

Curating a Developer Experience - A Hands-on Guide for Platform Engineers

Democratizing AI at Thomson Reuters: Empowering Teams and Driving Innovation

Dataflow-based Query Caching with Readyset

Amazon Introduces Amazon Nova, a Series of Foundation Models

Micro Metrics for LLM System Evaluation at QCon SF 2024

Cloudflare Experiences Major Incident in November, Resulting in Log Loss

Optimizing Amazon ECS with Predictive Scaling

Static Analyser PHPStan Releases Version 2.0

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